Image Classification on Real-world Seegene
99.22AccuracyMicroMIL
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| MicroMILBackbone=ResNet-18, Feature Dimension=128, Clusters=362024.07 | 99.22 | 99.94 | 99.25 | |
| TransMILBackbone=ResNet-18, Feature Dimension=1282024.07 | 97.78 | 98.73 | 97.76 | |
| DTFD-MILBackbone=ResNet-18, Feature Dimension=1282024.07 | 96.11 | 99.01 | 96.07 | |
| IBMILBackbone=ResNet-18, Feature Dimension=1282024.07 | 96.11 | 98.94 | 96.06 | |
| ACMILBackbone=ResNet-18, Feature Dimension=1282024.07 | 96.11 | 98.93 | 96.06 | |
| MS-DA-MILBackbone=ResNet-18, Feature Dimension=1282024.07 | 95.56 | 98.29 | 95.14 | |
| CLAMBackbone=ResNet-18, Feature Dimension=1282024.07 | 95.56 | 98.73 | 95.52 | |
| ABMILBackbone=ResNet-18, Feature Dimension=1282024.07 | 94.44 | 97.64 | 94.33 | |
| DSMILBackbone=ResNet-18, Feature Dimension=1282024.07 | 94.44 | 98.29 | 94.4 |